Federal Reserve Economic Data

Table Data - 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Rapides Parish, LA

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Rapides Parish, LA
Series ID MHICIUBLA22079A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1989-01-01 to 2022-01-01
Last Updated 2023-12-14 1:52 PM CST
Notes The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs.

Household income includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income.

A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation.
DATE VALUE
1989-01-01 23685
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25966
1994-01-01 .
1995-01-01 28712
1996-01-01 .
1997-01-01 30329
1998-01-01 31494
1999-01-01 30917
2000-01-01 33015
2001-01-01 31884
2002-01-01 32660
2003-01-01 33775
2004-01-01 34694
2005-01-01 35950
2006-01-01 36557
2007-01-01 38682
2008-01-01 43625
2009-01-01 41123
2010-01-01 42068
2011-01-01 39282
2012-01-01 42333
2013-01-01 42172
2014-01-01 43108
2015-01-01 45153
2016-01-01 45700
2017-01-01 44933
2018-01-01 50523
2019-01-01 52482
2020-01-01 50115
2021-01-01 51817
2022-01-01 60076

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